Course description
The purpose of this course is to give an introduction to machine learning without heavy-mathematics. A main focus is on machine learning algorithms for regression analyses using large datasets, both in terms of the number of variables observed and/or the number of units (sample size).
Please note location for the course! Click on the plus sign (+) for the course occasion to see full information.
Prerequisites and Selection
Prerequisite courses, or equivalent
Biostatistics I and Biostatistics II or corresponding courses.
Selection
Selection will be based on:
1) the relevance of the course syllabus for the applicant’s individual study plan/research (according to written motivation).
2) start date of doctoral studies (priority given to earlier start date).
Prior knowledge in any software, e.g. Stata, R or SAS is strongly recommended.
Course director
Course director is Anita Berglund, anita.berglund@ki.se
Course leader is Professor Xavier de Luna, Umeå University
Course syllabus
C6F5650
Department
Institute of Environmental Medicine
Doctoral programme
Epidemiology
Type of course
**Other course
Keywords
Machine learning